I assume that you are doing this on one column of the matrix which
should only have 2160 entries in it. can you send the actual code you
are using. I tried it with 10,000 samples and it works fine. So I
need to understand the data structure you are using. Also the
infinite recursion sounds strange; do you have function like 'cut' or
'c' redefined? So it would help if you could supply a reproducible
example.

On Tue, Jul 29, 2008 at 10:09 AM, Steve Murray <smurray444_at_hotmail.com> wrote:
>
> Unfortunately, when I get to the 'myCuts' line, I receive the following error:
>
> Error: evaluation nested too deeply: infinite recursion / options(expressions=)?
>
> ...and I also receive warnings about memory allocation being reached (even though I've already used memory.limit() to maximise the memory) - this is a fairly sizeable dataset afterall, 2160 rows by 4320 columns.
>
> Therefore I was wondering if there are any alternative ways of coarsening a dataset? Or are there any packages/commands built for this sort of thing?
>
> Any advice would be much appreciated!
>
> Thanks again,
>
> Steve
>
>
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